Abstract: Human intelligence is beyond pattern recognition. From a single image, we're able to explain what we see, reconstruct them in 3D, predict what's going to happen, and plan our […]
Quantum information science strives to utilize the fundamental laws of physics to achieve revolutionary improvement in computation, communication, and sensing. Existing quantum protocols rely on a wide variety of physical […]
In many areas of science and engineering, novel signal acquisition methods allow unprecedented access to physical measurements. From digital cameras to microscopes and nano-scale biosensors, the data generated are shaped […]
Abstract: A key task in astronomy is to locate astronomical objects in images and to characterize them according to physical parameters such as brightness, color, and morphology. This task, known […]
Abstract: In classic supervised machine learning, a learning agent behaves as a passive observer: it receives examples from some external environment which it has no control over and then makes […]
Optimization and sampling are both of central importance in large-scale machine learning problems, but they are typically viewed as very different problems. This talk presents recent results that exploit the interplay between them. […]
Surface tension plays a critical role in a wide range of biological, environmental, technological and geophysical settings. In this talk, I will present three different problems dealing with interfacial soft […]
